The disclosure provides an augmented reality system (200) including an input unit (204), a text recognition unit (206), a natural language processing unit (208), a positioning unit (210), and an output unit (212). The input unit (204) captures an image. The text recognition unit (206) identifies an information on a surface depicted in the image and generates an input data based on the information. The natural language processing unit (208) determines a context of the input data and generates at least one assistive information based on the context. The positioning unit (210) determines one or more spatial attributes based on the image and generates a positioning information based on the spatial attributes. The output unit (212) displays the assistive information based on the positioning information.
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5. The electronic device of claim 1, wherein the augmented reality system comprises at least one of a head-mounted device or a hand-held device.
6. The electronic device of claim 1, wherein the surface depicted in the image comprises a non-digital writing surface.
7. The electronic device of claim 1, wherein the surface depicted in the image comprises a digital display of a user equipment.
10. The electronic device of claim 1, wherein the information comprises at least one of handwritten information, printed information, electronically displayed information, or virtually projected information.
The invention relates to electronic devices configured to process and analyze different types of visual information. The device includes a camera system for capturing images or video of a physical environment, and a processor that processes the captured data to extract and interpret information. The information may include handwritten text, printed text, electronically displayed content (such as from screens or displays), or virtually projected information (such as augmented reality overlays). The device may further include a display for presenting the processed information or additional data derived from it. The system may also incorporate machine learning or pattern recognition techniques to enhance accuracy in identifying and interpreting the various types of information. The invention aims to provide a versatile electronic device capable of seamlessly integrating and processing diverse visual inputs, improving usability in applications like document scanning, augmented reality, and interactive displays.
16. The method of claim 11, wherein the information comprises at least one of handwritten information, printed information, electronically displayed information, or virtually projected information.
17. The method of claim 11, wherein the surface depicted in the image comprises a non-digital writing surface.
18. The method of claim 11, wherein the surface depicted in the image comprises a digital display of a user equipment.
20. The method of claim 11, wherein the setting of the type of plane comprises setting at least one of a three dimensional (3D) plane or a two dimensional (2D) plane based on the result of the comparing.
This invention relates to a method for determining the type of plane (3D or 2D) in a spatial analysis system. The method addresses the challenge of accurately identifying the dimensionality of a plane in a given dataset, which is critical for applications such as computer vision, robotics, and 3D modeling. The method involves comparing a computed characteristic of the plane, such as its geometric properties or statistical features, against predefined criteria. Based on this comparison, the system dynamically selects either a 3D plane or a 2D plane representation. This adaptive approach ensures that the plane type is optimized for the specific application, improving accuracy and efficiency in spatial computations. The method may also include preprocessing steps to refine the input data, such as noise reduction or feature extraction, to enhance the reliability of the comparison. By dynamically adjusting the plane type, the system avoids the limitations of fixed-dimensional approaches, leading to more robust and adaptable spatial analysis.
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December 20, 2019
November 15, 2022
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